The AI that researches like your best analyst. At machine speed.
Salmon's AI engine — a system of specialized agents that discover, verify, and deliver data with human-grade reasoning and full explainability.
Five stages. One intelligent loop.
Salmon's engine doesn't run a static pipeline. It orchestrates a reasoning graph that adapts in real time — revisiting earlier stages when confidence is low, escalating to premium sources when needed, and learning from every resolution.
Source
The engine deploys search agents across the open web, partner APIs, and your own data. Multiple agents work in parallel, each optimized for different source types.
Enrich
Raw signals are normalized, deduplicated, and merged into a unified record. Missing fields are filled from the highest-confidence available source.
Reason
The reasoning engine resolves conflicts between sources. When data disagrees, it determines which signal is most current and reliable — and documents why.
Verify
Every data point is cross-referenced against independent verification signals. Employment records, company affiliations, and identity markers are validated.
Deliver
The verified, enriched record is pushed directly into your CRM or data warehouse, schema-mapped to your existing fields. Full data lineage attached.
Four agent types. One coordinated system.
Each agent is purpose-built for a specific part of the research process. The engine coordinates them dynamically — deploying the right agent at the right moment based on what the data requires.
Search Agents
Discover across the open web, business registries, social networks, and licensed directories. The engine deploys multiple search agents in parallel, each specialized for different source types.
Reasoning Agents
Resolve conflicts between sources. When LinkedIn says “VP of Sales” and a press release says “CRO,” the reasoning agent determines which is current, which is stale, and why.
Verification Agents
Cross-reference every data point against independent signals — employment records, company affiliations, identity markers. Nothing ships unverified.
Memory Agents
Store prior resolution pathways, cache intermediate results, and optimize future lookups. The system gets faster and more accurate with every query it processes.
Three tiers of data. One decision framework.
The engine doesn't query every source every time. It starts with the fastest, cheapest signals and escalates only when needed — saving cost and latency while maximizing accuracy.
Open Web
Public websites, directories, social networks, business registries. Free, fast, and always checked first. It pulls from hundreds of live sources in parallel.
Partner APIs
Licensed datasets from providers like Equifax and ContactOut. Used when open-web signals are insufficient or conflicting. Cost-aware routing ensures premium sources are only called when they add value.
Customer Data
Your CRM, Snowflake tables, proprietary datasets. The engine cross-references your own data to resolve gaps and validate external signals — grounding every decision in your system of record.
Traditional pipeline vs. Salmon's AI engine.
Most data tools run a fixed sequence: query, return, done. Salmon's engine thinks. It tests hypotheses, resolves inconsistencies, and self-corrects before delivering a result.
- Linear, fixed-step processing with no ability to revisit
- Static database lookups that decay the moment they're cached
- No conflict resolution — last write wins, errors persist
- Batch processing means data is stale by the time it's delivered
- No explainability or audit trail on any record
- Adaptive graph that revisits and branches based on intermediate results
- Live interrogation of current sources at the moment of need
- AI-driven conflict resolution with confidence scoring on every field
- Real-time processing — results delivered in seconds, not days
- Full data lineage and decision trace on every record
Real conflicts. Resolved in seconds.
These aren't hypothetical scenarios. They're patterns the engine resolves thousands of times per day across every customer deployment.
Title Conflict Resolution
LinkedIn shows VP of Sales. A recent press release says CRO. The reasoning agent checks the dates, cross-references the company's org chart, and confirms the CRO title is current — the LinkedIn update is three weeks behind.
Employment Verification
Your CRM shows a contact at Stripe. The verification agent detects a new company domain in email headers, confirms the role at Plaid via multiple independent signals, and updates the record with full provenance.
Data Gap Filling
A new lead comes in with just name and company. The search agents find the direct line via a partner API, reasoning agents determine the correct title from three conflicting sources, and the complete profile ships to your CRM in 90 seconds.
See the engine run on your data.
No slides, no pitch deck. We run Salmon on your actual records and show you what changes. 30 minutes.